HITerStudy's repositories
Attention_ocr.pytorch
This repository implements the the encoder and decoder model with attention model for OCR
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
awesome-capsule-networks
A curated list of awesome resources related to capsule networks
awesome-ocr
A curated list of promising OCR resources
Capsule-Network-Tutorial
Pytorch easy-to-follow Capsule Network tutorial
capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
chineseocr
yolo3+ocr
crnn_chinese_characters_rec
chinese characters recognition
daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
deep-learning-papers-translation
深度学习论文翻译，包括分类论文，检测论文等
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
EfficientNets-PyTorch
A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."
image_to_numpy
Load an image file into a numpy array with Exif orientation support. Prevents upside-down and sideways images!
mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
pwc
Papers with code. Sorted by stars. Updated weekly.
pytorch-gradual-warmup-lr
Gradually-Warmup Learning Rate Scheduler for PyTorch
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
RandWireNN
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
SceneTextPapers
Tracking the latest progress in Scene Text Detection and Recognition: Must-read papers well organized
selective-convolution
Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)
SeMask-Segmentation
[Preprint] SeMask: Semantically Masked Transformers for Semantic Segmentation.
Text-Classification-Pytorch
Text classification using deep learning models in Pytorch